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Record W4252196706 · doi:10.1002/cjce.22372

Retraction: ‘Cloud point behaviour modelling of polyoxyethylene nonionic surfactants’ by Malek Bendjaballah and Hacina Said

2015· article· en· W4252196706 on OpenAlexvenueno aff
Nasibeh Hajilary, Mohsen Vafaie Sefti, Ali Shahmohammadi, Ahmad Dadvand Koohi, Amin Mohajeri

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCitationCloud pointPoint (geometry)Library scienceComputer scienceChemistryOrganic chemistryMathematics

Abstract

fetched live from OpenAlex

The above article, published as an accepted article online on November 23, 2013 in Wiley Online Library ( wileyonlinelibrary.com ), has been retracted by agreement between the journal's Editor‐in‐Chief, João B. P. Soares, and Wiley Periodicals, Inc. The retraction has been agreed due to unattributed use of content from ‘Prediction du Point de Trouble des Alcools Polyethoxyl 2,’ a PhD thesis chapter authored by Professor Boumediene Haddou. REFERENCE [1] Malek Bendjaballah, Hacina Saidi, “Cloud point behaviour modelling of polyoxyethylene nonionic surfactants,” Can. J. Chem. Eng . 2014 , 92 , 288–295. DOI: 10.1002/cjce.21943

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.188
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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